Econometrics, data science, and what AI is changing in economic research.

I'm an Assistant Professor of Statistics and Data Science at the Croatian Catholic University in Zagreb. My work sits where quantitative methods meet finance, economics, and digital media. I teach across the statistics curriculum, from introductory to multivariate, along with research methodology, data science, and digital media, and I lead a research project that brings these threads into conversation.

Outside the university, I've worked in financial markets and algorithmic trading, and partnered on applied research across time-series and financial econometrics, machine learning, NLP-driven media monitoring and narrative analysis, and social and digital analytics. Most of my current attention goes to AI in economic research. I want to know how large language models and agentic pipelines change the way empirical work actually gets done, and which parts of the craft they can't replace. I gave a seminar on this recently, and the whole pipeline behind it is open source.